t5-base-finetuned-xsum-long

This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.5249
• eval_rouge1: 15.3213
• eval_rouge2: 12.6162
• eval_rougeL: 15.3078
• eval_rougeLsum: 15.2948
• eval_gen_len: 19.0
• eval_runtime: 50.2149
• eval_samples_per_second: 2.41
• eval_steps_per_second: 2.41
• epoch: 9.0
• step: 3690

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 8e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 500

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0